Quarkus

Use these performance benchmarks to better understand the relationship and trade-offs between common Kafka producer parameters and message throughput.

Discover ways to improve developer and operational productivity with new Quarkus 2.0 features like fast RESTEasy Reactive and new Developer UI in this overview.

Real-time data and statistics on the open hybrid cloud with Quarkus and Infinispan | DevNation Tech Talk

Automate business rules using the Kogito engine. Learn how to implement the engine with the Drools Rule Language (DRL) utilizing examples of rule units.

Develop decision services that meet DMN standards with Kogito. We use Red Hat's business and process automation managers for rules creation and optimization.

No matter where you are in your software development career, from just starting, to re-training, to expert-level but needing a brush-up, the Red Hat Developer program can help with tutorials and learning.

Implement Drouge IoT-based firmware that communicates with Quarkus apps via LoRaWAN. This protocol enables cloud communication with a lower use of power.

Learn how to make and manage services on cloud-based platforms with the Red Hat Data Grid Operator. This technique adds global clusters across multiple services.

Accelerate your Quarkus skills with quick starts in the Developer Sandbox for Red Hat OpenShift. You'll spend less time configuring and more time building, testing, and deploying.

Explore the architecture behind a real-time game leaderboard that tracks scores and ranks players. We use Data Grid and Quarkus on a hybrid cloud deployment.

Kubernetes-native Java: Latest and greatest features of Quarkus 2.0 | DevNation Tech Talk

Red Hat Universal Base Images now offers OpenJDK runtime container images as a lightweight alternative to the standard builder images. Get started with using the new runtime images to deploy your Java applications on Red Hat OpenShift.

Integrate systems on Red Hat OpenShift with Apache Camel and Quarkus. This article explains how to help heterogeneous systems communicate via pipelines.

Building a production ready REST API has many moving parts. This article brings them all together in a Quarkus example that you can build on.

RESTEasy Reactive: Why should you care? | DevNation Tech Talk

Find out what Mandrel is and what it's not, in this introduction to Red Hat's downstream distribution of GraalVM for Quarkus and other projects.

Try this quick exercise to see why applications packaged with fast-jar support faster startup times than those packaged with the legacy Quarkus JAR format.

Develop a Quarkus edge app to process MQTT messages. Learn to start an MQTT broker with Podman, use Quarkus in dev mode, and build an app image with Podman.

Deploy a Quarkus application on OpenShift Dedicated, then use Red Hat OpenShift API Management and Red Hat 3scale API Management to add API key security.

Set up a new Quarkus project, then configure it for live coding on a remote Red Hat OpenShift cluster, just like you would in your local environment.

While you may be currently using Java EE, MicroProfile, or Quarkus annotations/extensions, Quarkus provides an API compatibility layer for some Spring projects. If you're coming from Spring development, these integrations might help you to make a smoother transition to Quarkus.

Follow a migration path from Spring Boot to Quarkus. The magic: Perform the migration without changing a single line of code. The madness: How was it done?

Learn how to write a Quarkus function on Red Hat OpenShift Serverless and manage the performance concerns by creating a native executable at build time.

If you've been curious about developing Quarkus applications on Red Hat OpenShift, this article provides the insight and tools you need to get started.